Project description:The Nation’s streams and rivers contain several contaminants in the form of complex mixtures. These cocktails of chemicals are not equivalent in concentrations, some pollutants such as nutrients can be found in the range of mg/L (macro-pollutants) but others components (micro-pollutants) such as endocrine disrupting chemicals (EDCs) are in amounts thousands to millions of times less concentrated ug/L to ng/L. These mixtures hamper the determination of particular effects of contaminants in aquatic biota. Nonetheless, the fact that toxicity is preceded by alteration in gene expression in an organism allows the use of gene expression profiling (from microarray studies) to detect early toxic effects and identify mechanisms of action. The microarray technology, a collection of DNA fragments attached to a solid surface, can be used to measure the expression levels of large numbers of genes. This facilitates establishment of links between toxicants and effects on biota. In urban waters, micropollutants such as EDCs, are known to cause effects at very low concentrations. One common class of EDCs found in low levels in urban waters is the class of perfluorochemicals (PFCs). Previously, we observed that urban waters with wastewater influence containing PFCs in the 300 ng/L range exerted effects in fish by altering the expression of cholesterol metabolism and DNA repair genes in the liver. To determine whether low concentrations in the range of the PFCs found in the environment can elicit gene expression changes, we investigated the impact of 7 different types of PFCs in a controlled laboratory study by exposing fathead minnows for 48h to environmentally relevant concentrations of PFCs. Additionally, we use blood as starting material for microarray analysis in order to explore non-invasive techniques. No fish mortality was observed in any treatment exposures, but gene expression was altred. Surprisingly, low levels of PFCs that we used altered gene expression in fish liver and blood. Several of the same genes were altered in both liver and blood from exposed fish. Micorarray analysis yields information on altered molecular pathways that predict changes at higher levels of biological organization such as survival and reproduction.

Project description:Pancreatic cancer is the 3rd most prevalent cause of cancer related deaths in United states alone, with over 55000 patients being diagnosed in 2019 alone and nearly as many succumbing to it. Late detection, lack of effective therapy and poor understanding of pancreatic cancer systemically contributes to its poor survival statistics. Obesity and high caloric intake linked co-morbidities like type 2 diabetes (T2D) have been attributed as being risk factors for a number of cancers including pancreatic cancer. Studies on gut microbiome has shown that lifestyle factors as well as diet has a huge effect on the microbial flora of the gut. Further, modulation of gut microbiome has been seen to contribute to effects of intensive insulin therapy in mice on high fat diet. In another study, abnormal gut microbiota was reported to contribute to development of diabetes in Db/Db mice. Recent studies indicate that microbiome and microbial dysbiosis plays a role in not only the onset of disease but also in its outcome. In colorectal cancer, Fusobacterium has been reported to promote therapy resistance. Certain intra-tumoral bacteria have also been shown to elicit chemo-resistance by metabolizing anti-cancerous agents. In pancreatic cancer, studies on altered gut microbiome have been relatively recent. Microbial dysbiosis has been observed to be associated with pancreatic tumor progression. Modulation of microbiome has been shown to affect response to anti-PD1 therapy in this disease as well. However, most of the studies in pancreatic cancer and microbiome have remained focused om immune modulation. In the current study, we observed that in a T2D mouse model, the microbiome changed significantly as the hyperglycemia developed in these animals. Our results further showed that, tumors implanted in the T2D mice responded poorly to Gemcitabine/Paclitaxel (Gem/Pac) standard of care compared to those in the control group. A metabolomic reconstruction of the WGS of the gut microbiota further revealed that an enrichment of bacterial population involved in drug metabolism in the T2D group.

Dataset Information

UWC_microbiome

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